Changed bacterial community in the river water samples upon introduction of biodegradable poly(3-hydroxybutyrate)

Changed bacterial community in the river water samples upon introduction of biodegradable poly(3-hydroxybutyrate)
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DOI:
10.1016/j.polymdegradstab.2020.109144
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发表时间:
2020-06-01
影响因子:
5.9
通讯作者:
Taguchi, Seiichi
Taguchi, Seiichi
中科院分区:
化学2区
文献类型:
--
作者:
Kadoya, Ryosuke;Tanaka, Naoto;Taguchi, Seiichi

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高分子材料对自然环境的添加效应主要从可培养的高分子降解微生物和/或其分泌的酶与目标材料之间的关系来评价。在本研究中,我们利用聚(3-羟基丁酸酯)[P(3HB)](一种被广泛研究的可生物降解聚合物),应用宏基因组分析来更好地了解四种不同河流样品中不可培养微生物多样性的变化。所有河流样品的微生物数量与P(3HB)质量呈反比关系,而不可降解聚乙烯样品的微生物数量与P(3HB)质量没有变化。统计分析(Chao1指数)表明,3个河流样本的微生物群落多样性降低,并趋于趋同。这表明河流环境中P(3HB)的生物降解与细菌联合体结构密切相关。有趣的是,检测到与已被鉴定为可培养P(3HB)降解菌对应的宏基因组序列,表明不可培养菌群与可培养菌群之间存在密切关系。宏基因组分析为我们了解河流样品中微生物群落的动态变化提供了有用的见解,并适用于各种环境和生物聚合物的组合。(C) 2020 Elsevier Ltd.版权所有。
The addition effects of polymeric materials on natural environments have been mainly evaluated in terms of the relationships between culturable polymer-degrading microorganisms and/or their secreted enzymes and target materials. In this study, we applied metagenome analysis to better understand the change in unculturable microorganismal biodiversity in the four different river samples by using poly (3-hydroxybutyrate) [P(3HB)], a well-studied biodegradable polymer. An inverse relationship between the number of microorganisms and the weight of P(3HB) was observed for all the river samples, while no changes were observed for nondegradable polyethylene. Based on statistical analysis (Chao1 index), the microbial consortia exhibited reduced diversity and tended to converge to similar microbial communities among three of the river samples. This suggests a tight relationship between the biodegradation of P(3HB) and bacterial consortium structure in the river environments. Interestingly, metagenomic sequences corresponding to bacteria that have already been identified as culturable P(3HB) degraders were detected, suggesting a close relationship between the unculturable community and the culturable community. The metagenomic analysis has provided us useful insights into the dynamic changes in the microbial community in the river samples and is applicable for various combinations of environments and biopolymers. (C) 2020 Elsevier Ltd. All rights reserved.